Call For Papers

Crowdsensing Big Data: Sensing, Processing and Understanding

Crowdsensing has recently spurred lots of research interest. It refers to the sensing paradigm in which mobile users with sensing and computing devices (e.g., Android phones, iPhones, and iPads) are tasked to collect and contribute data in order to enable various applications, from recognizing hazardous environmental situations to gaining knowledge on the collective behavior of crowds. Especially with the prevalence of smartphones and wearable devices nowadays, the scale of the crowdsensing system has rapidly increased. For example, the crowdsensing navigation app, WAZE, has already attracted more than 50 million contributors and users. Hence, there is a tremendous increase in volume, veracity, velocity, and variety of the data generated by today’s crowdsensing systems. This calls for an urgent request to bring big data processing and analytics techniques into the crowdsensing area.

Submissions to this Special Section must represent original material that has been neither submitted to, nor published in, any other journal. Regular manuscript length is 8 pages, additional 4 pages may be allowed for a fee.

Note: The recommended papers for the section are subject to final approval by the Editor-in-Chief. Some papers may be published outside the special section, at the EIC discretion.